Job DescriptionThe Translational Genome Analytics group within the Data, AI & Genome Sciences Department is recruiting a Director of Oncology Biomarker Discovery to join an oncology data science team dedicated to advancing our company's vast and expanding oncology pipeline, with a focus on multimodal biomarker discovery, validation, and implementation.
The successful candidate will:
- Investigate proprietary and public real-world molecular datasets and clinical trials in conjunction with tissue and periphery assays with a goal of identifying robust multimodal biomarkers of response and resistance to an array of cancer therapies across indications and lines of therapy, with line of sight to diagnostic development.
- Leverage advanced AI/ML approaches to integrate multi-modal data including RNAseq, WES, ctDNA, digital pathology, proteomics, immune activation assays, and liquid biopsies to discover biomarkers and molecularly defined groups of patients as well as molecular mechanisms of modulation of therapeutic response reflected in longitudinal analytes.
- Effectively present data analyses to inform and interact with stakeholders representing a wide span of internal organizations, including Translational Oncology, Molecular Diagnostics, Clinical Development, Statistics, Therapeutic Area Biology, and Commercial Development.
QUALIFICATIONS:Education:- Master's (with 12+ years) or Ph.D. (with 8+ years) in Engineering, Applied Mathematics, Bioinformatics, Computational Biology or related field with a significant computational and statistical expertise and relevant experience in a pharma, biotech or academic setting.
Required Experience and Skills:- Extensive experience applying computational methods in cancer biology.
- Extensive experience and demonstrated expertise with scientific cloud-based computation environments (R/Python highly preferred).
- AI/ML exposure and experience including supervised and unsupervised machine learning, foundation models, and modern coding.
- Experience with genomic datasets across cancer types and therapeutic modalities with proven expertise in drug development pipeline impact.
- Hands-on analysis experience with algorithms for large genetic, genomic, immunogenomic and clinical datasets (e.g. TCGA, GTEx, DepMap, CPTAC) as well as RWD genomic, imaging and EHR datasets.
- Experience with leading a team of highly performing computational scientists.
- Strong communication and presentation skills; ability to guide and influence decisions through use of data-driven hypotheses; attention to detail;
- Independent, flexible and collaborative mindset.
Preferred Experience and Skills:- Proven experience with analysis of genomic data originating from clinical trials.
- Exposure and experience with companion diagnostic development, preferably for NGS.
- Understanding of the major concepts of cancer biology as represented in molecular data.
- Expert knowledge of methods of statistical learning and data mining and application to biological problems.
- Experience with a matrix environment and ability to effectively collaborate with colleagues from a wide range of disciplines.
- Record of publishing in high profile scientific journals.
#EligibleforERP
Required Skills: Artificial Intelligence (AI), Cancer Genomics, Cancer Research, Cloud Computing, Computational Methods, Data Science, Genomic Data Analysis, Machine Learning (ML), Multimodal, Multimodal Analysis, Oncology
Preferred Skills: Current Employees apply HERE
Current Contingent Workers apply HERE
US and Puerto Rico Residents Only:The salary range for this role is
$194,100.00 - $305,600.00
This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.
The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.
We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.
You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.
San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance
Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance
Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status: Regular
Relocation:VISA Sponsorship:Travel Requirements:Flexible Work Arrangements:Not Applicable
Shift:Valid Driving License:Hazardous Material(s):Job Posting End Date:07/8/2026
*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. 
